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Wyświetlanie 1-2 z 2
Tytuł:
Multiple Attribute Decision Making method based on intuitionistic Dombi operators and its application in mutual fund evaluation
Autorzy:
Jana, Chiranjibe
Pal, Madhumangal
Wei, Guiwu
Powiązania:
https://bibliotekanauki.pl/articles/229946.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
intuitionistic fuzzy elements
Dombi operations
averaging aggregation operators
geometric aggregation operators
multiple attribute decision making
Opis:
In this paper, a new set of intuitionistic fuzzy aggregation operators have been introduced under the environment of intuitionistic fuzzy sets (IFSs). For this, firstly focused on some existing aggregation operators and then new operational rules known as Dombi operation have been proposed which make the advancement of flexibility behavior with the parameter. Based on Dombi operation laws, some new averaging and geometric aggregation operators namely, intuitionistic fuzzy Dombi weighted averaging, ordered weighted averaging and hybrid weighted averaging operator, classified as IFDWA, IFDOWA and IFDHWA operators respectively and intuitionistic fuzzy Dombi geometric, ordered weighted geometric and hybrid weighted geometric operators, labeled as IFDWG, IFDOWG and IFDHWG operators respectively have been proposed. Further,some properties such as idempotency, boundedness, monotonicity and commutative are investigated. Finally, a multi-attribute decision-making model has been developed for the proposed operators to select the best mutual fund for investment. The execution of the comparative study has been examined with the existing operators in this environment.
Źródło:
Archives of Control Sciences; 2020, 30, 3; 437-470
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of dual hesitant fuzzy prioritized operators based on Einstein operations with their application to multi-criteria group decision making
Autorzy:
Biswas, A.
Sarkar, A.
Powiązania:
https://bibliotekanauki.pl/articles/229705.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-criteria group decision-making
aggregation operator
dual hesitant fuzzy numbers
Einstein operations
prioritized weighted averaging operator
prioritized weighted geometric operator
Opis:
The purpose of this article is to develop a multicriteria group decision making (MCGDM) method in dual hesitant fuzzy (DHF) environment by evaluating the weights of the decision makers from the decision matrices using two newly defined prioritized aggregation operators based on score function to remove the inconsistencies in choosing the best alternative. Prioritized weighted averaging operator and prioritized weighted geometric operator based on Einstein operations are described first for aggregating DHF information. Some of their desirable properties are also investigated in details. A method for finding the rank of alternatives in MCGDM problems with DHF information based on priority levels of decision makers is developed. An illustrative example concerning MCGDM problem is considered to establish the application potentiality of the proposed approach. The method is efficient enough to solve different real life MCGDM problems having DHF information.
Źródło:
Archives of Control Sciences; 2018, 28, 4; 527-549
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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